SAS' Kris Stobbe shows how you can predict survival rates of Titanic passengers with a combination of both Python and CAS using SWAT, then see how the models performed.
In case you missed the news, there is a new edition of The Little SAS Book! Last fall, we completed the sixth edition of our book, and even though it is actually a few pages shorter than the fifth edition, we managed to add many more topics to the book.
In this blog, I will show you how a Viya administrator can track and control resource usage of personal caslibs.
In honor of Valentine’s day, we thought it would be fitting to present an excerpt from a paper about the LIKE operator because when you like something a lot, it may lead to love! If you want more, you can read the full paper “Like, Learn to Love SAS® Like”
If you’re a SAS user, you know that SAS Global Forum is where you want to be! It’s our premier, can’t-miss event for SAS professionals—that includes thousands of users, executives, partners and academics. It’s also our largest users’ event, organized by users, for users, and this year’s event marks our
One of the first and most important steps in analyzing data, whether for descriptive or inferential statistical tasks, is to check for possible errors in your data. In my book, Cody's Data Cleaning Techniques Using SAS, Third Edition, I describe a macro called %Auto_Outliers. This macro allows you to search
This blog post demonstrates process and SAS coding techniques to shift dates by a given number of workdays accounting for weekends and holidays.
When I attend a conference, one of the first things I do is look at the agenda. This gives me a good overview of how my time will be spent. The next thing I do is find the detailed breakdown of sessions, so I can start building out my own
One great thing about being a SAS programmer is that you never run out of new things to learn. SAS often gives us a variety of methods to produce the same result. One good example of this is the DATA step and PROC SQL, both of which manipulate data. The
This blog is part of a series on SAS Visual Data Mining and Machine Learning (VDMML). If you're new to SAS VDMML and you want a brief overview of the features available, check out my last blog post! This blog will discuss types of missing data and how to use imputation
